Creating Data Dictionary

Creating Data Dictionary

It provides the opportunity to create and centrally access Enterprise Data Dictionary which is in line with the ISO/IEC 11179 standard. Changes to definitions are monitored within the platform which makes sure that data maintains consistent and complete.

Creating Reference Code Dictionary and Service

Creating Reference Code Dictionary and ServiceThe Reference Code Dictionary and Service provides a flexible and easy-to-use management mechanism for data that is kept in key-value format. It also streamlines access to values by giving access to external services as REST and SOAP API format.

Change Approval Mechanism

Change Approval MechanismWith the Change Approval Mechanism, an approval for the change can be requested from the approval board of the organization, if available. Therefore, after verification, data is approved and recorded. This feature is an essential step for the Data Dictionary life cycle.


SubscriptionUsers may subscribe to the defined data within the application. This will ensure that the user is informed by a system notification or e-mail in the event of any change within the data.

Hierarchical Group and User Management

Hierarchical Group and User ManagementThe users and/or units of the establishment can be defined and a unit/personnel can be assigned to the definitions within the platform.

Detailed Audit

Detailed Audit

Detailed information about changes (who the change was performed by, what time it was changed) are recorded and if necessary reported.


CatalogingThe output of the dictionary data within the "Data Dictionary" can be provided as a "Catalogue". Therefore, a long and difficult task can be completed and ready to be used in a second.

Creating Automatic Data Dictionary

Creating Automatic Data Dictionary

It allows transfers to the Data Dictionary from various database management systems of the organization. It examines the metadata loaded during the transfer; determines and regulates the joint or conflicting definitions.


VersioningThe option for versioning is available. Therefore, the system history can be accessed through versions released in different times. The differences between the versions can be monitored and the changes performed by users can be reported in detail.

Request Management

This feature enables collecting additions, updates and deletions of the shareholders and also implements them after being processed.

Creating Microsites

Creating MicrositesIf needed, HTML based microsites can be created with the definitions on the platform. If the institution decides to block end-users' access to the enterprise data dictionary, the microsite can be added to the portal and only share the cookies.

Security and Authorization

Security and Authorization

Each defined user has their own different authority and users can be accessed and/or changed based on their authorities. Access to all defined data and attributes within the application, can be opened or closed to in-house and offsite users.

Custom Attribute Management

Custom Attribute ManagementWhile defining data independently from the ISO/IEC 11179 standard, if it necessary to add custom attributes to the data definition, they can be defined and managed easily without requiring any updates to the platform.

Exporting Lists

Exporting ListsAll current lists can be exported as PDF or Excel files.

Data Dictionary

The Data Dictionary is a collection of definitions that gives information such as the meaning of data, it's relationship with other data, its usage and format. It does not keep the data itself however it defines the attributes and features of data. It can be used for specific needs, in specific fields or for general usage.

  • It helps shareholders understand how to interact with the system; it also keeps the owner/responsible for the organizations data.
  • With its definitions, it clearly showcases the institutional memory and makes it accessible for everyone.
  • It minimizes issues in integration and information sharing by describing the data according to international standards. It provides in-house and offsite consistency in terms of terminology.
  • It prevents repetitive and inconsistent data and ensures that the systems are manageable.
  • It streamlines the software analysis, design, development and testing procedures with its defined, standardized, related data types. It ensures that the software is developed fast, strong and with high quality.
  • It creates a powerful infrastructure for reporting and queries used for data analysis. With the definitions it provides, reporting and queries are prepared quickly and easily.

These are issues experienced when a Data Dictionary isn't used:

  • Clashes caused by nonstandard data that are received from different resources and systems,
  • Classifying, integration and singularization issues due to conflicts,
  • Increase in hardware, software and network infrastructure costs,
  • Not being able to access information correctly or on time.

These lead to;

  • Integration issues,
  • Multiple applications performing the same functions,
  • Ineffectiveness,
  • Significant malfunctions caused by insufficient information for decision making.

Data dictionaries, which are more common in developed countries and solve many issues, have been involved in many institutions' strategic plans in our country for the past years.

Avustralya Sağlık Bakanlığı, Sağlık Veri Sözlüğü T.C. Sağlık Bakanlığı, Ulusal Sağlık Veri Sözlüğü

Republic of Turkey, Ministry of Health, National Health Data Dictionary

One of the major steps within the scope of "Health e-Transformation Program" initiated in 2013, was preparing the "National Health Data Dictionary".

This dictionary, with its current version 2.2, has been a reference study for other public and private institutions in Turkey. Relevant data is collected for the dictionary from all the health institutions within the country. For more information click here.

Australia Ministry of Health, Health Data Dictionary

Here you may find detailed information about Australia Health Data Dictionary, which is a good example for foreign data dictionary applications and is currently at version 16.

Here are examples for "National Data Centres" which are based on National Data Dictionaries: USA (, UK (, Germany ( These have been established in developed countries and continue to be created.

e-Dönüşüm Türkiye Projesi

In accordance with the Interoperability Guidelines within the e-Transformation Turkey Project of the Ministry of Development;

  • Organizations shall develop their Data Dictionaries in accordance with the institutional strategies.
  • Corporate Data Dictionaries shall be accessed from a single point and shall be updated.

You may access the Ministry of Development, e-Transformation Turkey Project Interoperability Guidelines here


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